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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

19,452 documents

Cryptohopper blog

The article defines altcoins broadly as cryptocurrencies other than Bitcoin and groups many of them into four categories: utility tokens, security tokens, non-fungible tokens, and stablecoins. Utility tokens can provide access to network services or…

CryptoVolatilitySentimentSpot markets
Amberdata research

The article explains open interest as the number of derivatives contracts that remain open and presents it as a measure of participation in crypto futures markets. It recommends reading changes in OI alongside price: rising OI with rising prices may support…

CryptoFuturesMarket microstructureSentiment
Hummingbot docs

This document describes Hummingbot’s Gemini spot connector, which connects to a centralized exchange order book through REST and WebSocket interfaces. It lists supported order types and gives basic steps for creating trading API credentials and connecting…

CryptoSpot marketsExecutionMarket microstructure
Cryptohopper blog

The document presents prompt patterns for using a crypto market data assistant. It covers broad ticker scans, candle and indicator analysis, comparisons across timeframes or venues, order book depth checks, news context, and recurring reports. Its central…

CryptoTechnical indicatorsExecutionMarket microstructure
SuperMind

This draft presents a research framework for estimating short-horizon crypto prices from fixed-interval data. It resamples futures and spot mid-prices at 100-millisecond intervals, derives returns, and preprocesses order-book imbalance features. The proposed…

CryptoFuturesSpot marketsMarket microstructure
Lumibot

This example shows how to run a historical backtest of a cryptocurrency portfolio using a drift rebalancer and Alpaca’s backtesting data source. The described method compares holdings with target weights and trades assets that have drifted from those…

CryptoPortfolio constructionBacktestingPosition sizing
Cryptohopper blog

The document explains dollar-cost averaging (DCA): investing a fixed amount at regular intervals instead of committing the full investment at once. Because each contribution buys at the asset’s current price, the investor acquires more units when prices are…

CryptoSpot marketsPosition sizingRisk management
Amberdata research

This article explains why total value locked can give a misleading impression of a decentralized finance protocol’s health. TVL rises or falls with the market prices of deposited assets, so a decline may reflect falling token prices rather than users…

DeFiCryptoOn-chain dataMarket microstructure
Amberdata research

The document explains how implied volatility (IV) surfaces organized by option moneyness can help identify relative pricing anomalies. A floating surface compares options at their actual listed expirations, while a constant surface interpolates or…

OptionsVolatilityDerivatives pricingCrypto
Amberdata research

This article applies the stock-to-flow ratio to Bitcoin as a scarcity-based valuation approach. It defines stock as the existing supply and flow as new annual issuance, then estimates Bitcoin’s annual production from the change in supply over a year. Using…

CryptoStatisticsBacktesting
Kraken Learn

This guide summarizes Brazilian tax reporting points for people holding or transacting in crypto assets. It states that the tax year runs from January through December and gives the following April’s last business day as the reporting deadline, with April 30…

CryptoSpot markets
Amberdata research

This weekly market review surveys Bitcoin and Ether options through realized and implied volatility, term structure, skew, relative value, option flows, and dealer gamma positioning. It describes falling front-end implied volatility, a pronounced shift…

CryptoOptionsVolatilityDerivatives pricing
NautilusTrader

This tutorial demonstrates replaying Binance level-two order book snapshots and updates in a backtest engine. It describes rebuilding the book from timestamped deltas, then checking the best bid and ask sizes after each update. When the larger side exceeds a…

CryptoFuturesBacktestingMarket microstructure
Hummingbot docs

This guide explains how to connect a MetaMask wallet to Dexalot’s Avalanche subnet, install Hummingbot and Gateway, and configure a simple ALOT-USDC market-making bot. It covers funding the subnet portfolio, setting credentials, linking the wallet, choosing…

CryptoMarket makingExecutionRisk management
Amberdata research

The document explains volatility cones as percentile benchmarks of historical realized volatility across several lookback periods. Traders compare current realized volatility with levels such as the lower quartile, median, and upper quartile to judge whether…

CryptoOptionsVolatilityRisk management
BigQuant

The study describes a machine-learning approach for classifying the optimal rebalance frequency of a two-asset portfolio strategy. It uses minute-level prices for 50 Binance crypto assets from 2022 and 2023, forms asset pairs, and groups them by correlation.…

CryptoPairs tradingMachine learningBacktesting
Amberdata research

This mid-week recap summarizes conditions in Bitcoin and Ether derivatives as of January 18, 2023. It highlights realized volatility returning above 20%, a shift to inverted term structures, and a complete reversal in skew. These measures describe different…

CryptoOptionsVolatilityDerivatives pricing
Kraken Learn

The document distinguishes scalping, day trading, swing trading, and position trading by their typical time frames and holding periods. It explains that cryptocurrencies trade continuously, without regional market sessions or weekend closures, so the…

Crypto
Amberdata research

This market recap interprets Bitcoin and Ether options volatility, term structure, skew, trading flows, and dealer gamma around anticipated spot ETF decisions. It reports rising implied volatility alongside stable recent realized volatility, with Bitcoin’s…

CryptoOptionsVolatilityMarket microstructure
FMZ forum

The article examines price differences between a domestic Bitcoin exchange and a foreign exchange. Its initial strategy is to buy Bitcoin abroad, transfer it to the domestic venue, and sell at the higher local price. The author accounts for purchase,…

CryptoArbitrageExecutionRisk management
Cryptohopper blog

This overview compares hardware, desktop, web, mobile, and paper wallets for storing cryptocurrency keys. It explains the central custody issue: control of private keys governs access to funds, so loss or theft of the keys can mean loss of access. Offline…

CryptoRisk managementSpot markets
Hummingbot docs

This Hummingbot guide explains how to cap the amount of a token that bots may use from an exchange or wallet. The feature is useful when multiple bots share an account and token, since it can constrain each bot’s usable balance. The guide describes setting a…

CryptoMarket makingRisk managementPosition sizing
Amberdata research

This weekly crypto market snapshot combines regulatory and company news with indicators of institutional activity and derivatives positioning. It covers the launch of XRP and Dogecoin ETFs, Tether’s U.S.-focused stablecoin, a large corporate Solana purchase,…

CryptoFuturesSentimentMarket microstructure
Kraken Learn

This survey reports how U.S. crypto holders perceive tax complexity and how tax concerns influence their investment choices. Respondents commonly expressed concern about effects on returns, confusion over reporting, rates, staking, and rewards, and…

CryptoRisk managementStatisticsUS markets